User Acceptance Analysis of SINAGA Digital Attendance System Using Integrated UTAUT and SCT Models with PLS-SEM for Civil Servants in Purbalingga Regency
DOI:
https://doi.org/10.52436/1.jutif.2026.7.2.5584Keywords:
ASN Digital Acceptance, E-Government Attendance, PLS-SEM Analysis, SCT Moderation, SINAGA System, UTAUT IntegrationAbstract
This study combines two main theories, namely the Unified Theory of Acceptance and Use of Technology (UTAUT) and Social Cognitive Theory (SCT), to analyze the level of user acceptance of the SINAGA digital attendance system among civil servants in Purbalingga Regency. This study aims to identify factors that influence technology adoption through an integrated UTAUT approach with SCT moderation, particularly self-efficacy. The method used was a survey of 102 respondents, with analysis using Partial Least Squares-Structural Equation Modeling (PLS-SEM) involving testing of outer and inner models through the Slovin approach. The results show that factors such as Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) significantly influence Behavioral Intention (BI). Self-Efficacy (SE) and Outcome Expectancy (OE) also act as moderating factors that strengthen the relationship between PE and BI, as well as EE and BI. With an R2 value of 78%, this model has a high explanatory power regarding users' behavioral intentions in adopting the system. This study contributes to the development of technology acceptance theory in the public sector, particularly for e-government systems, and suggests improving users' digital competence and optimizing infrastructure to support further technology acceptance with the integration of artificial intelligence (AI) technology in the system for more efficient dynamic monitoring. The main contribution of this research is the development of digital systems within the Indonesian government, in line with the sustainability of technology adoption in the public sector.
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References
U. Detthamrong et al., “Social Sciences & Humanities Open Thematic shifts in E-governance research : From foundational frameworks to emerging technologies,” vol. 12, no. July, 2025.
V. Ilhadi and E. Yusuf, “Pendampingan Teknologi Informasi Berkelanjutan dalam Peningkatan Pengembangan Digitalisasi di Bidang Pelayanan Publik dan Kearsipan,” vol. 3, no. 1, pp. 121–129, 2024.
C. T. B. Huynh Khanh Long Chau , Thi Thuy An Ngo *, “2. View of Transformasi Digital Pelayanan Publik_ Tantangan dan Prospek dalam Implementasi E-Government di Kabupaten Bima.pdf,” 2025.
N. Stanford and R. Mompoloki, “Telematics and Informatics Reports Model to explain use of E-Government service change Use of unified theory of acceptance and use of technology and information systems success model to explain use of E-Government service change : Emerging market case,” vol. 17, no. February, 2025.
M. A. Maktub, P. W. Handayani, and F. P. Sunarso, “Heliyon Citizen acceptance and use of the Jakarta Kini ( JAKI ) e-government : Extended unified model for electronic government adoption,” vol. 11, no. January, pp. 1–15, 2025.
J. Patel et al., “ScienceDirect ScienceDirect Enhancing Enhancing Classroom Classroom Attendance Attendance Systems Systems with with Face Face Recognition Recognition through CCTV CCTV using using Deep Deep Learning Learning through,” 2025.
W. A. Meisari, N. Widyaningrum, R. T. Utama, and S. N. Aulia, “Determinants of Public Interest in Telemedicine Use with UTAUT and Social Cognitive Model Approaches Highlight :,” vol. 7, no. 1, pp. 137–152, 2025.
Y. Liu, X. Lu, G. Zhao, C. Li, and J. Shi, “Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns,” Front. Psychol., vol. 13, no. August, pp. 1–20, 2022, doi: 10.3389/fpsyg.2022.944976.
I. S. Latif, R. E. Saputro, and A. S. Barkah, “Improvement of Technology Acceptance Model ( TAM ) with PLS-SEM : A Systematic Literature Review,” vol. 7, no. 2, pp. 1376–1399, 2025, doi: 10.51519/journalisi.v7i2.1104.
N. A. Felber, W. Lipworth, Y. J. Tian, D. Roulet Schwab, and T. Wangmo, “Informing existing technology acceptance models: a qualitative study with older persons and caregivers,” Eur. J. Ageing, vol. 21, no. 1, 2024, doi: 10.1007/s10433-024-00801-5.
M. H. C. Ay, “User Acceptance of Online Examination System Using the Unified Theory of Acceptance and Use of Technology (UTAUT) Model,” Lett. Inf. Technol. Educ., vol. 6, no. 1, p. 30, 2023, doi: 10.17977/um010v6i12023p30-37.
I. K. Mensah and M. K. Khan, “Unified Theory of Acceptance and Use of Technology ( UTAUT ) Model : Factors Influencing Mobile Banking Services ’ Adoption in China,” no. 1, pp. 1–18, 2024, doi: 10.1177/21582440241234230.
K. Ly and N. Thien, “among Vietnamese University Students : a Case Study in Can Tho City Factors Influencing the Choice of E-Commerce Platforms for Shopping among Vietnamese University Students : A Case Study in Can Tho City,” no. December, pp. 0–7, 2025, doi: 10.1145/3647782.3647783.
V. Venkatesh, J. Y. L. Thong, and X. Xu, “(14) Venkatesh & Xu (2016),” J. Assoc. Inf. Syst., vol. 17, no. 5, pp. 328–376, 2016.
N. S. Azalan, M. M. Mokhtar, and A. H. Abdul Karim, “Modelling e-Zakat Acceptance among Malaysian: An Application of UTAUT Model during Covid19 Pandemic,” Int. J. Acad. Res. Bus. Soc. Sci., vol. 12, no. 12, pp. 1619–1625, 2022, doi: 10.6007/ijarbss/v12-i12/15958.
A. Bayaga, “Telematics and Informatics Reports AI-powered platforms in STEM education , insights from UTAUT model : PLS-SEM and artificial neural networks hybrid analysis,” vol. 20, no. January, 2025.
H. Joshi, “International Journal of Information Integrating trust and satisfaction into the UTAUT model to predict Chatbot adoption – A comparison between Gen-Z and Millennials ☆,” vol. 5, no. March, 2025.
O. C. Ojiaku, E. C. Ezenwafor, and A. Osarenkhoe, “Integrating TTF and UTAUT models to illuminate factors that influence consumers’ intentions to adopt financial technologies in an emerging country context,” Int. J. Technol. Mark., vol. 18, no. 1, pp. 113–135, 2024, doi: 10.1504/IJTMKT.2024.135674.
V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “Quarterly,” vol. 27, no. 3, pp. 425–478, 2019.
D. Tricahyono, “ANALYZING JAKARTA KINI PLATFORM USING THE UTAUT 2 MODEL,” no. 2017, pp. 4081–4093, 2023.
V. Jain et al., “An Extended UTAUT Study of Information and Communication Technology Adoption in Higher Education,” vol. 14, no. 4, pp. 3448–3458, 2025, doi: 10.18421/TEM144.
Y. S. Permana et al., “Integrasi UTAUT Dan SCT Untuk Studi Empirik Penerimaan Teknologi,” vol. 9, no. 2, pp. 1645–1654, 2022.
N. Normah, A. Hadi, and F. N. Cahya, “The Acceptance of ATM Drive Thru of Bank CIMB Bintaro Branch Jakarta Using UTAUT Model,” Paradig. - J. Komput. dan Inform., vol. 25, no. 2, pp. 135–142, 2023, doi: 10.31294/p.v25i2.1857.
R. W. Idayani, E. Wahyu, and T. Darmaningrat, “^ Evaluation of factors affecting student acceptance of Evaluation of factors affecting student acceptance Zedemy using of the Unified Theory student of Acceptance and of Use Evaluation factors affecting acceptan,” Procedia Comput. Sci., vol. 234, pp. 1276–1287, 2023, [Online]. Available: https://doi.org/10.1016/j.procs.2024.03.125
M. J. S. Orias and N. M. D. Borbon, “Adoption of digital marketing among farm tourism sites in the province of Quezon, Philippines,” Int. J. Res. Stud. Manag., vol. 10, no. 1, pp. 29–40, 2022, doi: 10.5861/ijrsm.2022.12.
Z. H. I. N. S. Richard Andrew, Februarga P. Akwila, “Effect Of Performance Expectancy And Social Influence On Continuance Intention In OVO,” J. Manaj., vol. 25, no. 1, p. 125, 2021, doi: 10.24912/jm.v25i1.707.
C. B. Quyet, “The acceptance of sustainable e-commerce by small and medium-sized enterprises: a case of Vietnam,” Insights into Reg. Dev., vol. 6, no. 1, pp. 46–58, 2024, doi: 10.9770/ird.2024.6.1(4).
M. K. Hunde, A. W. Demsash, and A. D. Walle, “Behavioral intention to use e-learning and its associated factors among health science students in Mettu university, southwest Ethiopia: Using modified UTAUT model,” Informatics Med. Unlocked, vol. 36, no. December 2022, 2023, doi: 10.1016/j.imu.2022.101154.
M. Mahdikhani and P. Meena, “Journal of Innovation,” J. Innov. Knowl., vol. 9, no. 4, p. 100591, 2024, [Online]. Available: https://doi.org/10.1016/j.jik.2024.100591
A. Michael MUSYAFFI, D. Agustin Pratama SARI, and D. Kismayanti RESPATI, “Understanding of Digital Payment Usage During COVID-19 Pandemic: A Study of UTAUT Extension Model in Indonesia,” J. Asian Financ., vol. 8, no. 6, pp. 475–0482, 2021, doi: 10.13106/jafeb.2021.vol8.no6.0475.
L. Chen, M. S. Rashidin, F. Song, Y. Wang, S. Javed, and J. Wang, “Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model,” SAGE Open, vol. 11, no. 2, 2021, doi: 10.1177/21582440211027875.
B. A. Akinnuwesi et al., “A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19,” Sustain. Oper. Comput., vol. 3, no. September 2021, pp. 118–135, 2022, doi: 10.1016/j.susoc.2021.12.001.
J. Wang, Y. Yang, H. Li, and J. van Aalst, “Continuing to teach in a time of crisis: The Chinese rural educational system’s response and student satisfaction and social and cognitive presence,” Br. J. Educ. Technol., vol. 52, no. 4, pp. 1494–1512, 2021, doi: 10.1111/bjet.13129.
A. M. Musyaffi, D. A. P. Sari, M. I. Amal, V. Deswanto, T. Nuryati, and Rismawati, “Attitude Toward of Public Hospital Information System: The Role of Technology Readiness,” Qual. - Access to Success, vol. 22, no. 185, pp. 136–141, 2021, doi: 10.47750/QAS/22.185.18.
G. AFACAN ADANIR and M. ÇINAR, “The Acceptance and Use of an Online Exam System by Online Learners: Implementation of the UTAUT Model,” Sak. Univ. J. Educ., vol. 11, no. 3, pp. 412–430, 2021, doi: 10.19126/suje.830529.
“15. View of Analysis Of Epuskesmas Adoption In Tasikmalaya Regency Using Utaut Model.pdf.”
Y. Yi, G. Li, T. Chen, P. Wang, and H. Luo, “Investigating the Factors That Sustain College Teachers’ Attitude and Behavioral Intention toward Online Teaching,” Sustain. , vol. 16, no. 6, 2024, doi: 10.3390/su16062286.
H. Khong, I. Celik, T. T. T. Le, V. T. T. Lai, A. Nguyen, and H. Bui, “Examining teachers’ behavioural intention for online teaching after COVID-19 pandemic: A large-scale survey,” Educ. Inf. Technol., vol. 28, no. 5, pp. 5999–6026, 2023, doi: 10.1007/s10639-022-11417-6.
N. A. Dahri et al., “Acceptance of Mobile Learning Technology by Teachers: Influencing Mobile Self-Efficacy and 21st-Century Skills-Based Training,” Sustain., vol. 15, no. 11, 2023, doi: 10.3390/su15118514.
I. K. Mensah, G. Zeng, and D. S. Mwakapesa, “The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy,” Front. Public Heal., vol. 10, 2022, doi: 10.3389/fpubh.2022.1020474.
A. J. Irawan, “Understanding Factors That Affect Social Media Advertisement Adoption for Small Medium Enterprises in Indonesia the Case of Facebook Advertisement,” Int. J. Curr. Sci. Res. Rev., vol. 07, no. 02, pp. 1298–1311, 2024, doi: 10.47191/ijcsrr/v7-i2-48.
“21. View of THE INTERACTION BETWEEN TEACHING COMPETENCIES AND SELF-EFFICACY IN FOSTERING ENGAGEMENT AMONGST DISTANCE LEARNERS_ A PATH ANALYSIS APPROACH.pdf.”
K. Khalid, R. Ismail, and J. E. Mat-Jizat, “Teachers and Crowdsourcing Platform: Using UTAUT to Examine Behaviour Intention and Use Behaviour,” Int. J. Acad. Res. Progress. Educ. Dev., vol. 12, no. 1, pp. 1784–1799, 2023, doi: 10.6007/ijarped/v12-i1/15737.
H. Kavandi and M. Jaana, “Factors that affect health information technology adoption by seniors: A systematic review,” Heal. Soc. Care Community, vol. 28, no. 6, pp. 1827–1842, 2020, doi: 10.1111/hsc.13011.
S. Diel, E. Doctor, R. Reith, C. Buck, and T. Eymann, “Examining supporting and constraining factors of physicians’ acceptance of telemedical online consultations: a survey study,” BMC Health Serv. Res., vol. 23, no. 1, pp. 1–27, 2023, doi: 10.1186/s12913-023-10032-6.
S. K. Husna Alfiani, “View of E-Government Issues in Developing Countries Using TOE and UTAUT Frameworks_ A Systematic Review,” 2024.
P. Sarker, L. Hughes, T. Malik, and Y. K. Dwivedi, “Technological Forecasting & Social Change Examining consumer adoption of social commerce : An extended META-UTAUT model,” vol. 212, no. March 2024, 2025.
M. Kenate, A. Workie, and A. Damtew, “Informatics in Medicine Unlocked Behavioral intention to use e-learning and its associated factors among health science students in Mettu university , southwest Ethiopia : Using modified UTAUT model,” vol. 36, no. December 2022, 2023.
K. Lakshmanan and N. Shanmugavel, “Investigation on the factors influencing the continuation intention to use digital wallet in the rural parts of India using extended UTAUT2,” vol. 9, no. 1, pp. 22–47, 2025, doi: 10.1108/AJEB-08-2024-0100.
A. Fauziah, “Analisis Penerapan Model UTAUT 2 Behavioral Intention dan Use Behavior Penggunaan Aplikasi Pedulilindungi Application of the UTAUT 2 .,” vol. 15, no. 3, pp. 318–335, 2024, doi: 10.29244/jmo.v15i3.54638.
G. C. Profiling and M. O. Produce, “Green Consumer Profiling and Online Shopping of Imperfect Foods : Extending UTAUT with Web-Based Label Quality for,” no. 2023, 2024.
B. C. Ezeudoka and M. Fan, “Determinants of behavioral intentions to use an E-Pharmacy service: Insights from TAM theory and the moderating influence of technological literacy,” Res. Soc. Adm. Pharm., vol. 20, no. 7, pp. 605–617, 2024, doi: 10.1016/j.sapharm.2024.03.007.
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